IoT Assistant for People with Visual Impairment in Edge Computing

Author:

Júnior Manoel José S.,Oliveira Horácio F.,Barreto Raimundo S.

Publisher

Springer Nature Switzerland

Reference16 articles.

1. The Lancet Global Health. https://www.thelancet.com/journals/langlo/article /PIIS2214-109X(17)30293-0/fulltext. Accessed 19 Apr 2019

2. Joseph Chet Redmon. https://pjreddie.com/darknet/yolo/. Accessed 18 Apr 2019

3. United Nations - Convention on the Rights of Persons with Disabilities. https://www.un.org/development/desa/disabilities/convention-on-the-rights-of-persons-with-disabilities.html. Accessed 21 May 2019

4. Raspberry Organization. https://www.raspberrypi.org/documentation/usage/gpio/. Accessed 23 Apr 2019

5. Heya, T.A., Arefin, S.E., Chakrabarty, A., Alam, M.: Image processing based indoor localization system for assisting visually impaired people. In: 2018 Ubiquitous Positioning, Indoor Navigation and Location-Based Services (UPINLBS), Wuhan, pp. 1-7 (2018)

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